Virtualization in Mobile Networks. Speaker: Xinbo Wang

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1 Virtualization in Mobile Networks Speaker: Xinbo Wang

2 Outline LTE Architecture and Protocol Stack Virtualizing Individual Layers and Functions Backhaul and Fronthaul Alternatives Research Ideas Slide 2

3 Outline LTE Architecture and Protocol Stack Virtualizing Individual Layers and Functions Backhaul and Fronthaul Alternatives Research Ideas Slide 3

4 LTE Architecture [1] LTE Tutorials, Slide 4

5 LTE Architecture [1] LTE Tutorials, Slide 5

6 Functional split between the E-UTRAN and the EPC [1] LTE Tutorials, Slide 6

7 LTE Radio Protocol Stack [1] LTE Tutorials, Slide 7

8 Physical Layer information from the MAC transport channels and the air interface. link adaptation (AMC), power control, cell search other measurements Medium Access Layer (MAC) Mapping between logical channels and transport channels Multiplexing of MAC SDUs from different logical channels onto transport blocks (TB) to be delivered to the physical layer on transport channels [1] LTE Tutorials, Slide 8

9 Medium Access Layer (MAC) De multiplexing of MAC SDUs from one or different logical channels from transport blocks (TB) delivered from the physical layer on transport channels Scheduling information reporting Error correction through HARQ Priority handling between UEs by means of dynamic scheduling. Priority handling between logical channels of one UE, Logical Channel prioritization. Radio Link Control (RLC) transfer of upper layer PDUs, error correction through ARQ Concatenation, segmentation and reassembly of RLC SDUs [1] LTE Tutorials, Slide 9

10 Radio Resource Control (RRC) broadcast of System Information Packet Data Convergence Control (PDCP) Header compression and decompression of IP data, Transfer of data (user plane or control plane) Maintenance of PDCP Sequence Numbers (SNs) Ciphering and deciphering of user plane data and control plane data Integrity protection and integrity verification of control plane data Timer based discard, duplicate discarding, [1] LTE Tutorials, Slide 10

11 Outline LTE Architecture and Protocol Stack Virtualizing Individual Layers and Functions Backhaul and Fronthaul Alternatives Research Ideas Slide 11

12 Virtualization Slide 12 [2] Small Cell Forum, Small cell virtualization: Functional splits and use cases, Release 6.0, , January 2016.

13 CRAN Architecture Slide 13 [2] Small Cell Forum, Small cell virtualization: Functional splits and use cases, Release 6.0, , January 2016.

14 Split Architectures for different use cases Slide 14 [2] Small Cell Forum, Small cell virtualization: Functional splits and use cases, Release 6.0, , January 2016.

15 Split services Hardware requirement: Backhaul crypto acceleration True random number generators Integrated network interfaces Benefits: Content cache (> L3) Wireless platform service (NTP, SON) Slide 15 [2] Small Cell Forum, Small cell virtualization: Functional splits and use cases, Release 6.0, , January 2016.

16 Split between RRC and PDCP Hardware requirement (same): Backhaul crypto acceleration True random number generators Integrated network interfaces Slide 16 [2] Small Cell Forum, Small cell virtualization: Functional splits and use cases, Release 6.0, , January 2016.

17 Split between PDCP and RLC Additional Hardware requirement: Air interface crypto acceleration Slide 17 [2] Small Cell Forum, Small cell virtualization: Functional splits and use cases, Release 6.0, , January 2016.

18 Split between RLC and MAC Additional Hardware requirement: Packetization accelerators to support the segmentation and concatenation Scatter gather DMAs Slide 18 [2] Small Cell Forum, Small cell virtualization: Functional splits and use cases, Release 6.0, , January 2016.

19 Split MAC Hardware requirement (same): Packetization accelerators to support the segmentation and concatenation Scatter gather DMAs Slide 19 [2] Small Cell Forum, Small cell virtualization: Functional splits and use cases, Release 6.0, , January 2016.

20 Split between MAC and PHY Hardware requirement (same): Packetization accelerators to support the segmentation and concatenation Scatter gather DMAs Slide 20 [2] Small Cell Forum, Small cell virtualization: Functional splits and use cases, Release 6.0, , January 2016.

21 Split PHY Additional Hardware requirement: DSPs, FPGAs L1 hardware accelerators Slide 21 [2] Small Cell Forum, Small cell virtualization: Functional splits and use cases, Release 6.0, , January 2016.

22 Different options for Split PHY For the Interface I (and above): limits the support of some LTE advanced features (e.g. CoMP) and CRAN features drawbacks including L1 processing functions in RU limit scalability for future features Multi-vendor interoperability is more complex There are interoperability issues with legacy systems Interface II and III best potential in terms of DL For the Interface I (and above): throughput reduction, while as for interface II, there is an fulfilling CRAN requirements opportunity of statistical MUX this split allows all kinds of CoMP gains at the fronthaul interface schemes For the interface IV (CPRI): Very high data rate on DL and UL needed for the fronthauling interface Slide 22 [2] Small Cell Forum, Small cell virtualization: Functional splits and use cases, Release 6.0, , January 2016.

23 Summary of function split Slide 23 [2] Small Cell Forum, Small cell virtualization: Functional splits and use cases, Release 6.0, , January 2016.

24 Summary of function split Slide 24 [2] Small Cell Forum, Small cell virtualization: Functional splits and use cases, Release 6.0, , January 2016.

25 Technique supported by each split case Slide 25 [3] Small Cell Forum, Coverage and capacity impacts of virtualization, Release 6.0, , June 2016.

26 Outline LTE Architecture and Protocol Stack Virtualizing Individual Layers and Functions Backhaul and Fronthaul Alternatives Research Ideas Slide 26

27 Different Fronthaul Technologies [4] Final Definition of ijoin Requirements and Scenarios, ijoin, Deliverable D5.2, November 2014 Slide 27

28 Different Fronthaul Technologies [5] Network-layer algorithms and network operation and management: candidate technologies specification, ijoin, Deliverable D4.2, November 2014 Slide 28

29 Outline LTE Architecture and Protocol Stack Virtualizing Individual Layers and Functions Backhaul and Fronthaul Alternatives Research Ideas Slide 29

30 Centralize vs. Distribute (functions) Items Centralization Distribution Fronthaul Bandwidth Latency CoMP Peak throughput (per UE) Cell average throughput Economies of scale Hardware upgrade Efficiency in power consumption Slide 30

31 switch fabric Group meeting 03/05/2016 Different levels of centralization µru RU RU RU µru µr U BB U µru µru RU RU RU RU RU RU µru µru centralised processing node (DU pool RU RU RU µru µru µru µru RU RU RU [6] COMBO project. Slide 31

32 Multi-level DU placement [6] COMBO project. Slide 32

33 Mobile Edge Computing [7] Mobile-Edge Computing Introductory Technical White Paper. Slide 33

34 Research Idea: network breathing Given: Network topology node connectivity and links length # fibers/link, #wavelengths/fiber, capacity/wavelength. DU placement Capacity of a DU in terms of virtualized functions (VF) For each cell (user): The ordered array of requested functions and content. Bandwidth demand between any two VFs. Maximum route length (latency budget) between any two VFs. Set of contents needed by users in the cell. Coordinated-cell sets associated with the controlling VF. The power consumption of DU and VF. Decide: How to split VFs for each cell Where to place VFs and contents for each cell The grooming, routing and wavelength assignment of traffic from all cells Minimize: Network cost, defined as sum of Power consumption (DU, wavelength) Usage of content caches Latency for each cell centralization vs. distribution Slide 34

35 Research Idea: network breathing Constraints: Aggregated traffic on a link cannot exceed the link s capacity. The VF associated with the coordinated set of cells must be put at a common ancestor of these cells. For each cell, the last VF must be located at or before the requested content. Intuition: Minimizing power consumption of DU tends to centralize VFs. Minimizing cache usage tends to centralize contents. Minimizing latency tends to distribute VFs and cells. When latency is more valued, VFs and contents tend to be distributed towards network edge. When operational cost is more valued, VFs tend to be centralized towards the network core. Slide 35

36 References [1] LTE Tutorials, [2] Small Cell Forum, Small cell virtualization: Functional splits and use cases, Release 6.0, , January [3] Small Cell Forum, Coverage and capacity impacts of virtualization, Release 6.0, , June [4] Final Definition of ijoin Requirements and Scenarios, ijoin, Deliverable D5.2, November 2014 [5] Network-layer algorithms and network operation and management: candidate technologies specification, ijoin, Deliverable D4.2, November 2014 [6] COMBO project. [7] Mobile-Edge Computing Introductory Technical White Paper. Slide 36

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